Spatial adaptation in multi-microphone sound capture
First Claim
1. A spatial adaptation method for providing long term symmetry among a plurality of microphones of a device, comprising:
- calculating a magnitude ratio (MR) by computing a ratio between a first energy representing first group of one or more near-field microphones and a second energy representing a second group of one or more far-field microphones;
using the MR to provide microphone matching of large variations without any situational assumptions to lower manufacturing cost and complexities, wherein the microphone matching depends on a difference between a near-field signal and a far-field signal; and
in accordance with the microphone matching, adjusting the first group of one or more near-field microphones and the second group of one or more far-field microphones to have similar performance characteristics,wherein the step of calculating the magnitude ratio further comprises;
calculating a minima follower and a maxima follower configured to track a minimum magnitude ratio and a maximum magnitude ratio over time, applied separately and independently in each frequency band of a plurality of frequency bands; and
calculating an average magnitude ratio based on the minima follower and the maxima follower,wherein a buffer stores the minimum magnitude ratio and the maximum magnitude ratio over time, andwherein the average magnitude ratio is used to provide the microphone matching.
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Abstract
A spatial adaptation system for multiple-microphone sound capture systems and methods thereof are described. A spatial adaptation system includes an inference and weight module configured to receive a inputs. The inputs based on two or more input signals captured by at least two microphones. The inference and weight module to determine one or more weight values base on at least one of the inputs. The spatial adaptation system also including a noise magnitude ratio update module coupled with the inference and weight module. The noise magnitude ratio update module to determine an updated noise target based on the one or more weight values from the inference and weight module.
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Citations
20 Claims
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1. A spatial adaptation method for providing long term symmetry among a plurality of microphones of a device, comprising:
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calculating a magnitude ratio (MR) by computing a ratio between a first energy representing first group of one or more near-field microphones and a second energy representing a second group of one or more far-field microphones; using the MR to provide microphone matching of large variations without any situational assumptions to lower manufacturing cost and complexities, wherein the microphone matching depends on a difference between a near-field signal and a far-field signal; and in accordance with the microphone matching, adjusting the first group of one or more near-field microphones and the second group of one or more far-field microphones to have similar performance characteristics, wherein the step of calculating the magnitude ratio further comprises; calculating a minima follower and a maxima follower configured to track a minimum magnitude ratio and a maximum magnitude ratio over time, applied separately and independently in each frequency band of a plurality of frequency bands; and calculating an average magnitude ratio based on the minima follower and the maxima follower, wherein a buffer stores the minimum magnitude ratio and the maximum magnitude ratio over time, and wherein the average magnitude ratio is used to provide the microphone matching. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification